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Vol. 7, Issue 10 (2018)

Study of biological effects of Sodium Azide in M1 generation and estimation of LD50 for growth and reproduction parameters

Th Nepolian, MS Jeberson, NB Singh, Ph R Sharma and KS Shashidhar
The purpose of this study was to carry out a comparative evaluation of the physicochemical properties of mucin powders extracted from three different sources. Mucin powders was extracted from the African giant snails and the intestines of cow and pigs by the wet rendering process and differential precipitation with chilled acetone. The precipitates were air-dried and pulverized into powder. The powders were subjected to different organoleptic and physicochemical evaluations including solubility profiles, pH, moisture content and particle size. Their powder flow properties such as bulk and tapped densities, true density, angle of repose, flow rate, Hausner’s ratio and Carr’s compressibility index were also evaluated. The mucin powders showed comparable organoleptic properties, solubility profiles, melting points and pH. The powders were positive to tests for carbohydrates and proteins with traces of fixed oil. Microscopic examination of their particles reveals particle size and size distribution from 60 - 88 µm. Therewereslightvariationsinthebulkpropertiesofthepowders which exhibited good to fair flow ability with the following parameters; Hausner’s ratio (1.11 - 1.30), Carr’s index (9.99 - 18.44%), angles of repose (38.26 - 40.02°) and flow rate (2.68 - 3.25 g/sec). Their moisture content ranged from 10 - 16%. Results of the study has shown that the snail, bovine and porcine mucin powders are comparable in quality and thus may be considered equivalent when being used as an adjuvant in mucoadhesive drug delivery systems.
Pages: 291-293  |  540 Views  140 Downloads

The Pharma Innovation Journal
How to cite this article:
Th Nepolian, MS Jeberson, NB Singh, Ph R Sharma, KS Shashidhar. Study of biological effects of Sodium Azide in M<sub>1</sub> generation and estimation of LD<sub>50</sub> for growth and reproduction parameters. Pharma Innovation 2018;7(10):291-293.

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